Problem
Music discovery systems rely heavily on genre similarity rather than emotional proximity.
Role
Interaction designer and classification interface contributor
Scope
RTP mood clustering · perceptual navigation · playlist workflows
Interaction Model
Users explored emotional relationships between tracks using rhythm-texture-pitch mood fields instead of genre hierarchies.
Outcome
Prototype demonstrating perceptual browsing across machine-classified music collections.
Tools
Figma · research systems · acoustic classification models
Research Context
This project contributed to interaction prototypes built on rhythm-texture-pitch (RTP) acoustic classification systems for perceptual music navigation and playlist generation.
I am listed as an inventor on multiple related patents describing classification-driven music organization systems that cluster tracks using computed acoustic attributes rather than genre labels.
Related patents include:
Music selection and organization using rhythm, texture and pitch
Music streaming, playlist creation and streaming architecture
Music selection and organization using audio fingerprints
